diff --git a/models/viralspread/netlogo/ViralSpread.nlogo b/models/viralspread/netlogo/ViralSpread.nlogo index 731692a..938496a 100644 --- a/models/viralspread/netlogo/ViralSpread.nlogo +++ b/models/viralspread/netlogo/ViralSpread.nlogo @@ -1,29 +1,36 @@ ;; ----- DECLARATIONS ----- +;; use arrays +extensions [array] + ;; Create "breed" of 'turtle' called cell breed [cells cell] ;; eventually separate mesophyll? breed [vasculars vascular] ;; phloem vascular bundles ;; Create "breed" of 'link' called phloem -directed-link-breed [phloems phloem] +undirected-link-breed [phloems phloem] ;; Note: I know there shouldn't be an s, but it wanted a different plural :( undirected-link-breed [plasmodesmata plasmodesma] +directed-link-breed [tests test] + ;; Declare global variables globals [ num-infected ;; keep track of number infected num-viruses ;; keep track of the viral particles - mod-num-viruses ;; keep track of the modified viral particles - lysed-cells ;; keep track of apoptotic cells + mod-num-viruses ;; keep track of the modified viral particles + lysed-cells ;; keep track of apoptotic cells + infect-per-leaf ;; array of infection counts + mod-infect-per-leaf ;; array of mod-infection counts ] ;; Declare the cell-specific (turtle breed) variables -cells-own +turtles-own [ infected? ;; if true, the cell is infectious resistant? ;; if true, cell can't be infected num-plasmodesmata ;; number of connections with other cells - copy-number ;; track the number of genomes in the nucleus + copy-number ;; track the number of genomes in the nucleus ;;; not used currently pregenomes ;; track the number of pregenomes in the cell protein-six ;; track functional P6 viral-count ;; keeps track of the virions produced by the cell @@ -31,6 +38,7 @@ cells-own mod-pregenomes ;; as above with delta-P6 mod-viral-count ;; as above with delta-P6 sar-level ;; amount of "salicylic acid" present in the cell + leaf ;; leaf number ] @@ -39,14 +47,16 @@ cells-own ;; Setup procedures to setup - clear-all ;; remove anything from previous runs - setup-stem ;; make a stem structure to connect the leaves - setup-cells ;; set up the cells - setup-leaf ;; set up the connections between cells - ask n-of initial-infection-sites cells ;; infect this number of cells + clear-all ;; remove anything from previous runs + random-seed 1 ;; consistent seed for reproducibility -- useful in debugging & screenshots + setup-cells ;; set up the cells and group them in leaves + setup-leaf ;; set up the connections between cells and connect the stems + set infect-per-leaf array:from-list n-values num-leaves [0] ;; initialize as 1xn array of 0's + set mod-infect-per-leaf array:from-list n-values num-leaves [0] ;; initialize as 1xn array of 0's + ask n-of initial-infection-sites cells with [leaf = 0] ;; infect this number of cells [ become-infected - set copy-number founder-population-viruses ;; start with x genomes per infected cell + set viral-count founder-population-viruses ;; start with x genomes per infected cell ] ask links [ set color white ] ;; make the symplastic connections white ask phloems @@ -55,96 +65,110 @@ to setup set thickness 0.3 ] reset-ticks ;; reset timer from previous run + if file-exists? "netlogo_out.csv" [file-delete "netlogo_out.csv"] ;; clean slate for output end -to setup-stem + +to setup-cells + set-default-shape cells "circle" ;; uses circle shape for displayed cells + let cells-per-leaf floor (num-cells / num-leaves) + let extra-cells remainder num-cells num-leaves + let angular-spacing 10 ;; degrees between leaves + if angular-spacing * num-leaves > 360 ;; throw an error if the leaves don't fit + [ error "Not enough space for leaves"] + let leaf-angle (360 - angular-spacing * num-leaves) / num-leaves ;; angular width per leaf + let rmin 0.1 * max-pxcor ;; minimum distrance from the origin + let rmax min list max-pxcor max-pycor ;; max distance -- + + foreach n-values extra-cells [?] ;; ? here is just identity, making n-values 0:n-1 + [create-cells cells-per-leaf + 1 ;; + [ + set size 0.5 ;; netlogo is a freak, so '?' == loop iteration - 1 + let theta (? * (leaf-angle + angular-spacing)) + random-float leaf-angle + let r random-radius rmin rmax + let x r * cos(theta) + let y r * sin(theta) + setxy x y + set leaf ? ;; leaf number = loop iteration, starting from 0. + become-susceptible + ] + ] + ;; now do it again for leaves without extra cells + foreach n-values (num-leaves - extra-cells) [? + extra-cells] ;; ? here is just identity, making n-values 0:n-1 + [create-cells cells-per-leaf ;; + [ + set size 0.5 ;; netlogo is a freak, so '?' == loop iteration - 1 + let theta (? * (leaf-angle + angular-spacing)) + random-float leaf-angle + let r random-radius rmin rmax + let x r * cos(theta) + let y r * sin(theta) + setxy x y + set leaf ? ;; Leaf number = iteration + become-susceptible + ] + ] + ;; ---- also set up the stems here, since we use the same local variables + set-default-shape vasculars "plant" ;; uses stem-looking shape for vasculature ;; Create and position vascular cells - create-vasculars 1 [ setxy 0 -16 ] - create-vasculars 1 - [ - setxy 0 -6 - create-phloem-from vascular 0 ;; directed stem connection - ] - create-vasculars 1 - [ - setxy 0 6 - create-phloem-from vascular 1 ;; directed stem connection - ] - create-vasculars 1 - [ - setxy 0 16 - create-phloem-from vascular 2 ;; directed stem connection + create-vasculars num-leaves + 1 ;; one central vascular, plus one per leaf + ;; vasculature numbeing starts at num-cells -- each turtle has separate number + ask vascular num-cells + [become-susceptible] + foreach n-values num-leaves [?] + [ ask vascular (? + 1 + num-cells) + [ + let r (rmin + rmax) / 2 + let theta (? * (leaf-angle + angular-spacing)) + leaf-angle / 2 + setxy (r * cos(theta)) (r * sin(theta)) + create-phloem-with vascular num-cells ;; connect to central stem + ;; Connect to a cell in your own leaf + let choice ( one-of (cells with [leaf = ?]) ) + if choice != nobody [ create-phloem-with choice ] + become-susceptible + ] ] ask vasculars ;; make the vasculature stand out from the leaf cells [ set color green set size 2.5 - ] + ] end -to setup-cells - set-default-shape cells "circle" ;; uses circle shape for displayed cells - create-cells num-cells - [ - let xguess random-pxcor - while [abs xguess < 0.1 * max-pxcor or abs xguess > 0.95 * max-pxcor] - [set xguess random-pxcor] - - let yguess random-pycor - while [abs yguess < 0.1 * max-pycor or abs yguess > 0.95 * max-pycor] - [set yguess random-pycor] - - setxy xguess yguess ;; no nodes too close to edges - become-susceptible - ask cells [ set size 0.5 ] ;; makes the circles smaller for larger scale - ] +;; --- helper function to pick a radius that ensures unifom distribution --- +to-report random-radius [rmin rmax] + ;; picks a radius at random such that points will be uniform in a circle + ;; pdf is r/const ; use inverse transform method + let u random-float 1 + let r sqrt(u * (rmax ^ 2 - rmin ^ 2) + rmin ^ 2 ) + report r end + + to setup-leaf ask cells [ ;; using random-possion to give a more realistic distribution of links per cell + let my-leaf leaf while [ count my-links < random-poisson avg-num-plasmodesmata ] [ - let choice (min-one-of (other cells with [not link-neighbor? myself]) + let choice (min-one-of (other cells with [(not link-neighbor? myself) and leaf = my-leaf]) [distance myself]) if choice != nobody [ create-plasmodesma-with choice ] ] ] ;; to make the network look nicer - repeat 10 [ layout-spring turtles links 0.3 (world-width / (sqrt num-cells)) 1 ] - ;; connect leaves to the vasculature - ask vascular 0 - [ - let choice ( one-of (cells with [pxcor < 0 and pycor < 0]) ) - if choice != nobody [ create-phloem-from choice ] - ] - ask vascular 1 - [ - let choice ( one-of (cells with [pxcor > 0 and pycor < 0]) ) - if choice != nobody [ create-phloem-from choice ] - ] - ask vascular 2 - [ - let choice ( one-of (cells with [pxcor < 0 and pycor > 0]) ) - if choice != nobody [ create-phloem-from choice ] - ] - ask vascular 3 - [ - let choice ( one-of (cells with [pxcor > 0 and pycor > 0]) ) - if choice != nobody [ create-phloem-from choice ] - ] +repeat 10 [ layout-spring turtles links 0.3 (world-width / (sqrt num-cells)) 1 ] end - ;; ----- MAIN ----- ;; This is the main process - what is activated when the user clicks "go" to go - ;; if the user specified a duration, stop after that + ;; if the user specified a duration, stop after that. if specified-duration [ if ticks > num-ticks [ stop ] @@ -160,17 +184,33 @@ to go set i i + 1 tick ] - stop ;; stop model completely + stop + ;; stop model completely ] - - ;; otherwise, continue to spread the virus + ;; otherwise, continue to spread the virus spread-virus spread-sar do-apoptosis-checks + record-data tick end - +;; ----- DATA OUTPUT ----- + +to record-data + file-open "netlogo_out.csv" + let leaf-infect-list array:to-list infect-per-leaf + foreach leaf-infect-list ;; iterate through this list + [ file-write ? ;; type number then comma + file-type ","] + file-type " ," ;; next set of columns: mod infections + let mod-leaf-infect-list array:to-list mod-infect-per-leaf + foreach mod-leaf-infect-list ;; iterate through this list + [ file-write ? ;; type number then comma + file-type ","] + file-type "\n" ;; newline + file-close ;; apparently bad things happen if you don't +end ;; ----- CELL PROCEDURES ----- @@ -185,6 +225,7 @@ to become-infected ;set viral-count 0 ; new-viruses set copy-number copy-number + 1 set num-viruses num-viruses + 1 + array:set infect-per-leaf leaf (array:item infect-per-leaf leaf + 1) ;; increment counter end to mod-become-infected @@ -193,6 +234,7 @@ to mod-become-infected set color red set mod-copy-number copy-number + 1 set mod-num-viruses mod-num-viruses + 1 + array:set mod-infect-per-leaf leaf (array:item mod-infect-per-leaf leaf + 1) ;; increment counter end to become-susceptible @@ -211,12 +253,21 @@ end ;; ---- SAR Molecule Spread & Apoptosis ---- -;; Increase levels of signalling molecule based on neighbours' levels -;; Assuming the infected cells are unable to produce sar signal molecules, but +;; Signalling molecules are produced (one per tick) by +;; - cells with infected neighbours +;; - resistant cells +;; Signalling molecules are spread by +;; - resistant cells -- pass on 20% their SAR each tick +;; - susceptible cells -- only pass on 10% +;; - Stems also spread SAR, but don't produce any. +;; - Infected cells do not produce or pass on SAR, but they can lyse. +;; NOTE -- don't have an integer # of molecules, since they get split. to spread-sar ;; initial generation of sar based on neighbouring cells being infected ask cells [ + if (any? link-neighbors with [infected?]) + [ set sar-level sar-level + 1 ] let neighboured false ;; remember if a neighbour is infected ask link-neighbors [ @@ -224,28 +275,35 @@ to spread-sar ] ;; if a neighbour is infected, increase this cell's sar signalling molecule if (neighboured) [ set sar-level sar-level + 1 ] + if (resistant?) [set sar-level sar-level + 1 ] ] ;; assume the resistant cells are better able to spread the sar molecule - ask cells with [resistant?] + ask turtles with [resistant?] [ - let shared-sar sar-level / 2 ;; saying half the sar-level will be spread + let shared-sar sar-level / 5 ;; saying half the sar-level will be spread + let num-neighbors (count link-neighbors) ask link-neighbors [ - set sar-level sar-level + shared-sar - if sar-level >= resistance-threshold [ set resistant? true ] + set sar-level sar-level + shared-sar / num-neighbors + if (sar-level >= resistance-threshold) and (not infected?) + [ set resistant? true + set color blue ] ] - set sar-level sar-level + shared-sar / 2 ;; not much kept in the cell + set sar-level sar-level - shared-sar ;; take away what we spread ] ;; assume the susceptible cells can produce an okay amount of sar molecule - ask cells with [not infected? and not resistant?] + ask turtles with [not infected? and not resistant?] [ - let shared-sar sar-level / 5 ;; fifth of the molecules will be shared + let shared-sar sar-level / 10 ;; fifth of the molecules will be shared + let num-neighbors (count link-neighbors) ask link-neighbors [ - set sar-level sar-level + shared-sar - if sar-level >= resistance-threshold [ set resistant? true ] + set sar-level sar-level + shared-sar / num-neighbors + if (sar-level >= resistance-threshold) and (not infected?) + [ set resistant? true + set color blue ] ] - set sar-level sar-level + shared-sar / 2 + set sar-level sar-level - shared-sar ;; take away what we spread ] end @@ -269,9 +327,9 @@ end ;; Procedure governing spread to neighbouring cells to spread-virus - ask cells with [infected?] + ask turtles with [infected?] [ - if (viral-count + mod-viral-count > 500) + if (viral-count + mod-viral-count > -1) [ ask link-neighbors with [not resistant? and not infected?] [ @@ -382,8 +440,8 @@ SLIDER num-cells num-cells 1 -1000 -275 +300 +216 1 1 NIL @@ -398,7 +456,7 @@ avg-num-plasmodesmata avg-num-plasmodesmata 1 10 -6 +7 1 1 NIL @@ -448,7 +506,7 @@ viral-spread-chance viral-spread-chance 1 20 -9 +6.5 0.5 1 NIL @@ -463,7 +521,7 @@ num-ticks num-ticks 0 500 -167 +252 1 1 NIL @@ -476,7 +534,7 @@ SWITCH 223 specified-duration specified-duration -1 +0 1 -1000 @@ -505,11 +563,11 @@ SLIDER 174 founder-population-viruses founder-population-viruses -1 -30 +400 +600 +440 10 1 -1 NIL HORIZONTAL @@ -522,7 +580,7 @@ lysis-threshold lysis-threshold 1 10000 -10000 +2294 1 1 NIL @@ -555,7 +613,22 @@ resistance-threshold resistance-threshold 1 100 -89 +14 +1 +1 +NIL +HORIZONTAL + +SLIDER +24 +327 +196 +360 +num-leaves +num-leaves +1 +10 +7 1 1 NIL diff --git a/models/viralspread/netlogo/ViralSpread_goodlooking.nlogo b/models/viralspread/netlogo/ViralSpread_goodlooking.nlogo new file mode 100644 index 0000000..59960e8 --- /dev/null +++ b/models/viralspread/netlogo/ViralSpread_goodlooking.nlogo @@ -0,0 +1,1025 @@ +;; ----- DECLARATIONS ----- +;; use arrays +extensions [array] + +;; Create "breed" of 'turtle' called cell +breed [cells cell] ;; eventually separate mesophyll? +breed [vasculars vascular] ;; phloem vascular bundles + +;; Create "breed" of 'link' called phloem +undirected-link-breed [phloems phloem] +;; Note: I know there shouldn't be an s, but it wanted a different plural :( +undirected-link-breed [plasmodesmata plasmodesma] + +directed-link-breed [tests test] + +;; Declare global variables +globals +[ + num-infected ;; keep track of number infected + num-viruses ;; keep track of the viral particles + mod-num-viruses ;; keep track of the modified viral particles + lysed-cells ;; keep track of apoptotic cells + infect-per-leaf ;; array of infection counts + mod-infect-per-leaf ;; array of mod-infection counts +] + +;; Declare the cell-specific (turtle breed) variables +turtles-own +[ + infected? ;; if true, the cell is infectious + resistant? ;; if true, cell can't be infected + num-plasmodesmata ;; number of connections with other cells + copy-number ;; track the number of genomes in the nucleus ;;; not used currently + pregenomes ;; track the number of pregenomes in the cell + protein-six ;; track functional P6 + viral-count ;; keeps track of the virions produced by the cell + mod-copy-number ;; as above with delta-P6 + mod-pregenomes ;; as above with delta-P6 + mod-viral-count ;; as above with delta-P6 + sar-level ;; amount of "salicylic acid" present in the cell + leaf ;; leaf number +] + + + + + +;; Setup procedures +to setup + clear-all ;; remove anything from previous runs + random-seed 1 ;; consistent seed for reproducibility -- useful in debugging & screenshots + setup-cells ;; set up the cells and group them in leaves + setup-leaf ;; set up the connections between cells and connect the stems + set infect-per-leaf array:from-list n-values num-leaves [0] ;; initialize as 1xn array of 0's + set mod-infect-per-leaf array:from-list n-values num-leaves [0] ;; initialize as 1xn array of 0's + ask n-of initial-infection-sites cells with [leaf = 0] ;; infect this number of cells + [ + become-infected + set viral-count founder-population-viruses ;; start with x genomes per infected cell + ] + ask links [ set color white ] ;; make the symplastic connections white + ask phloems + [ + set color green ;; make the vascular bundles green and thicker + set thickness 0.3 + ] + reset-ticks ;; reset timer from previous run + if file-exists? "netlogo_out.csv" [file-delete "netlogo_out.csv"] ;; clean slate for output +end + + +to setup-cells + set-default-shape cells "circle" ;; uses circle shape for displayed cells + let cells-per-leaf floor (num-cells / num-leaves) + let extra-cells remainder num-cells num-leaves + let angular-spacing 10 ;; degrees between leaves + if angular-spacing * num-leaves > 360 ;; throw an error if the leaves don't fit + [ error "Not enough space for leaves"] + let leaf-angle (360 - angular-spacing * num-leaves) / num-leaves ;; angular width per leaf + let rmin 0.1 * max-pxcor ;; minimum distrance from the origin + let rmax min list max-pxcor max-pycor ;; max distance -- + + foreach n-values extra-cells [?] ;; ? here is just identity, making n-values 0:n-1 + [create-cells cells-per-leaf + 1 ;; + [ + set size 0.5 ;; netlogo is a freak, so '?' == loop iteration - 1 + let theta (? * (leaf-angle + angular-spacing)) + random-float leaf-angle + let r random-radius rmin rmax + let x r * cos(theta) + let y r * sin(theta) + setxy x y + set leaf ? ;; leaf number = loop iteration, starting from 0. + become-susceptible + ] + ] + ;; now do it again for leaves without extra cells + foreach n-values (num-leaves - extra-cells) [? + extra-cells] ;; ? here is just identity, making n-values 0:n-1 + [create-cells cells-per-leaf ;; + [ + set size 0.5 ;; netlogo is a freak, so '?' == loop iteration - 1 + let theta (? * (leaf-angle + angular-spacing)) + random-float leaf-angle + let r random-radius rmin rmax + let x r * cos(theta) + let y r * sin(theta) + setxy x y + set leaf ? ;; Leaf number = iteration + become-susceptible + ] + ] + ;; ---- also set up the stems here, since we use the same local variables + + set-default-shape vasculars "leaf" ;; uses stem-looking shape for vasculature + ;; Create and position vascular cells + create-vasculars num-leaves + 1 ;; one central vascular, plus one per leaf + ;; vasculature numbeing starts at num-cells -- each turtle has separate number + ask vascular num-cells + [become-susceptible + set shape "plant"] + foreach n-values num-leaves [?] + [ ask vascular (? + 1 + num-cells) + [ + let r (rmin + rmax) / 2 + let theta (? * (leaf-angle + angular-spacing)) + leaf-angle / 2 + setxy (r * cos(theta)) (r * sin(theta)) + create-phloem-with vascular num-cells ;; connect to central stem + ;; Connect to a cell in your own leaf + let choice ( one-of (cells with [leaf = ?]) ) + if choice != nobody [ create-phloem-with choice ] + + become-susceptible + ] + ] + ask vasculars ;; make the vasculature stand out from the leaf cells + [ + set color green + set size 2.5 + ] +end + +;; --- helper function to pick a radius that ensures unifom distribution --- +to-report random-radius [rmin rmax] + ;; picks a radius at random such that points will be uniform in a circle + ;; pdf is r/const ; use inverse transform method + let u random-float 1 + let r sqrt(u * (rmax ^ 2 - rmin ^ 2) + rmin ^ 2 ) + report r +end + + + +to setup-leaf + ask cells + [ + ;; using random-possion to give a more realistic distribution of links per cell + let my-leaf leaf + while [ count my-links < random-poisson avg-num-plasmodesmata ] + [ + let choice (min-one-of (other cells with [(not link-neighbor? myself) and leaf = my-leaf]) + [distance myself]) + if choice != nobody [ create-plasmodesma-with choice ] + ] + ] + ;; to make the network look nicer +repeat 10 [ layout-spring turtles links 0.3 (world-width / (sqrt num-cells)) 1 ] +end + + + +;; ----- MAIN ----- + +;; This is the main process - what is activated when the user clicks "go" +to go + ;; if the user specified a duration, stop after that. + if specified-duration + [ + if ticks > num-ticks [ stop ] + ] + ;; otherwise, check if all cells are infected + if all? cells [ infected? ] + [ + ;; if they are, run 40 more times (make the graph look nice) + let i 0 + while [i <= 40] + [ + spread-virus + set i i + 1 + tick + ] + stop + ;; stop model completely + ] + ;; otherwise, continue to spread the virus + spread-virus + spread-sar + do-apoptosis-checks + record-data + tick +end + +;; ----- DATA OUTPUT ----- + +to record-data + file-open "netlogo_out.csv" + let leaf-infect-list array:to-list infect-per-leaf + foreach leaf-infect-list ;; iterate through this list + [ file-write ? ;; type number then comma + file-type ","] + file-type " ," ;; next set of columns: mod infections + let mod-leaf-infect-list array:to-list mod-infect-per-leaf + foreach mod-leaf-infect-list ;; iterate through this list + [ file-write ? ;; type number then comma + file-type ","] + file-type "\n" ;; newline + file-close ;; apparently bad things happen if you don't +end + + +;; ----- CELL PROCEDURES ----- + +;; Cell Procedures +to become-infected + ;; change global tracking variables for a first infection + if (not infected?) + [ + if (is-cell? self) [set num-infected num-infected + 1 ;; increment counters + array:set infect-per-leaf leaf (array:item infect-per-leaf leaf + 1)] + set infected? true + set resistant? false + set color red + ] + ;; regardless, pass on viral particle + set viral-count viral-count + 1 + set num-viruses num-viruses + 1 +end + +to mod-become-infected + set infected? true + set resistant? false + set color red + set mod-copy-number copy-number + 1 + set mod-num-viruses mod-num-viruses + 1 + array:set mod-infect-per-leaf leaf (array:item mod-infect-per-leaf leaf + 1) ;; increment counter +end + +to become-resistant + set resistant? true + set color blue +end + +to become-susceptible + set infected? false + set resistant? false + set color green + set copy-number 0 + set pregenomes 0 + set protein-six 0 + set viral-count 0 + set mod-copy-number 0 + set mod-pregenomes 0 + set mod-viral-count 0 +end + + +;; ---- SAR Molecule Spread & Apoptosis ---- + +;; Signalling molecules are produced (one per tick) by +;; - cells with infected neighbours +;; - resistant cells +;; Signalling molecules are spread by +;; - resistant cells -- pass on 20% their SAR each tick +;; - susceptible cells -- only pass on 10% +;; - Stems also spread SAR, but don't produce any. +;; - Infected cells do not produce or pass on SAR, but they can lyse. +;; NOTE -- don't have an integer # of molecules, since they get split. +to spread-sar + ;; initial generation of sar based on neighbouring cells being infected + ask cells + [ + if (any? link-neighbors with [infected?]) + [ set sar-level sar-level + 1 ] + let neighboured false ;; remember if a neighbour is infected + ask link-neighbors + [ + if (infected?) [ set neighboured true ] + ] + ;; if a neighbour is infected, increase this cell's sar signalling molecule + if (neighboured) [ set sar-level sar-level + 1 ] + if (resistant?) [set sar-level sar-level + 1 ] + ] + ;; assume the resistant cells are better able to spread the sar molecule + ask turtles with [resistant?] + [ + let shared-sar sar-level / 5 ;; saying half the sar-level will be spread + let num-neighbors (count link-neighbors) + ask link-neighbors + [ + set sar-level sar-level + shared-sar / num-neighbors + if (sar-level >= resistance-threshold) and (not infected?) + [ become-resistant ] + ] + set sar-level sar-level - shared-sar ;; take away what we spread + ] + ;; assume the susceptible cells can produce an okay amount of sar molecule + ask turtles with [not infected? and not resistant?] + [ + let shared-sar sar-level / 10 ;; tenth of the molecules will be shared + let num-neighbors (count link-neighbors) + ask link-neighbors + [ + set sar-level sar-level + shared-sar / num-neighbors + if (sar-level >= resistance-threshold) and (not infected?) + [ become-resistant ] + ] + set sar-level sar-level - shared-sar ;; take away what we spread + ] +end + +;; Determine whether the cell can destroy itself to help prevent viral spread +to do-apoptosis-checks + ;; if the cell is infected and can still lyse, check + ask cells with [infected?] + [ + if (sar-level >= lysis-threshold) + [ + set lysed-cells lysed-cells + 1 + die + ] + ] +end + + + +;; ----- VIRUS PROCEDURES ----- + +;; Procedure governing spread to neighbouring cells +to spread-virus + ask turtles with [infected?] + [ + if (viral-count + mod-viral-count > -1) + [ + if (random-float 100 < viral-spread-chance) + [ + set viral-count viral-count - 1 ;; take away the one that we will spread + if any? link-neighbors with [not resistant?] ;; make sure there's a valid target + [ + ask one-of link-neighbors with [not resistant?] ;; put it into that target + [ become-infected] + ] + ] + ] + ] +end + + +to assemble-virus + ;; viral-count increases with P6 and pregenomes + ;; p6 increases with copy number + ;; pregenomes increases with copy number + ;; copy number increases with viral count + ;; -- viral count should be the thing we spread + ask cells with [infected?] + [ + ;; 35S RNA formation + if (viral-count + mod-viral-count < 500) + [ + set pregenomes pregenomes + 0.01 * copy-number + ;set mod-viral-count mod-viral-count + mod-copy-number + ] + ;; P6 production + if (protein-six < 1000) + [ + set protein-six protein-six + 0.01 * copy-number + ] + ;; Viral assembly + if (viral-count + mod-viral-count < 500) + [ + set viral-count viral-count + 0.01 * protein-six * pregenomes + ;set mod-viral-count mod-viral-count + mod-copy-number + ] + ;; Reentry in nucleus + if (copy-number + mod-copy-number < 100) + [ + set copy-number copy-number + 0.01 * viral-count + ;set mod-copy-number 1.05 * mod-copy-number + ] + ] +end +@#$#@#$#@ +GRAPHICS-WINDOW +691 +12 +1279 +621 +22 +22 +12.85 +1 +10 +1 +1 +1 +0 +0 +0 +1 +-22 +22 +-22 +22 +0 +0 +1 +ticks +30.0 + +BUTTON +116 +288 +179 +321 +go +go +T +1 +T +OBSERVER +NIL +NIL +NIL +NIL +1 + +SLIDER +22 +102 +196 +135 +initial-infection-sites +initial-infection-sites +1 +4 +4 +1 +1 +NIL +HORIZONTAL + +SLIDER +20 +10 +192 +43 +num-cells +num-cells +200 +600 +540 +10 +1 +NIL +HORIZONTAL + +SLIDER +20 +49 +208 +82 +avg-num-plasmodesmata +avg-num-plasmodesmata +1 +10 +8 +1 +1 +NIL +HORIZONTAL + +PLOT +231 +475 +454 +672 +#infected over time +ticks +#infected cells +0.0 +50.0 +0.0 +50.0 +true +false +"set-plot-x-range 0 num-ticks\nset-plot-y-range 0 num-cells" "" +PENS +"infected" 1.0 0 -13791810 true "" "plot num-infected" + +BUTTON +38 +289 +101 +322 +setup +setup +NIL +1 +T +OBSERVER +NIL +NIL +NIL +NIL +1 + +SLIDER +25 +356 +197 +389 +viral-spread-chance +viral-spread-chance +1 +20 +12 +0.5 +1 +NIL +HORIZONTAL + +SLIDER +21 +227 +193 +260 +num-ticks +num-ticks +0 +500 +459 +1 +1 +NIL +HORIZONTAL + +SWITCH +22 +190 +177 +223 +specified-duration +specified-duration +0 +1 +-1000 + +PLOT +466 +485 +666 +635 +Number of Viruses +ticks +#viruses +0.0 +10.0 +1.0 +1000.0 +true +false +"set-plot-x-range 0 num-ticks\nset-plot-y-range 0 num-cells" "" +PENS +"default" 1.0 0 -16777216 true "" "plot (num-viruses + mod-num-viruses)" + +SLIDER +22 +141 +215 +174 +founder-population-viruses +founder-population-viruses +400 +600 +460 +10 +1 +NIL +HORIZONTAL + +SLIDER +24 +446 +196 +479 +lysis-threshold +lysis-threshold +1 +10000 +2676 +1 +1 +NIL +HORIZONTAL + +PLOT +19 +490 +219 +640 +Lysed Cells +ticks +#cells +0.0 +10.0 +0.0 +10.0 +true +false +"set-plot-x-range 0 num-ticks\nset-plot-y-range 0 10" "" +PENS +"default" 1.0 0 -16777216 true "" "plot lysed-cells" + +SLIDER +23 +410 +195 +443 +resistance-threshold +resistance-threshold +1 +100 +34 +1 +1 +NIL +HORIZONTAL + +SLIDER +24 +327 +196 +360 +num-leaves +num-leaves +1 +10 +7 +1 +1 +NIL +HORIZONTAL + +@#$#@#$#@ +## WHAT IS IT? + +This is a model tracking viral spread in a plant-structure made of leaf cells and vascular cells. The spatial locations of the cells are divided into "leaves", and individual cells are connected by plasmodesmata. + + +## HOW IT WORKS + +The model begins by creating all of the cells - it places them in space (in 4 leaves separated by the coodrinate axes) and iteratively goes through the cells, giving each a random number of connections. + +All the cells start as susceptible, except for some small initial infection. Then the virus spreads along the plasmodesmata connections as time progresses. + +In this model there's also a chance of cells becoming resistant. This is triggered by either proximity to infected cells, or by spreading among + + +## HOW TO USE IT + +Set the sliders as you see fit and click setup. Hit go to see what happens! + + +## THINGS TO NOTICE + +How does the viral infection curve change as # of connections is increased and viral spread chance is decreased? + + +## THINGS TO TRY + +Move the sliders! And note the variations in the random setup, especially as it concerns connections between different leaves. + + +## EXTENDING THE MODEL + +Giving appropriate parameters for the viral spread chance. + + +## NETLOGO FEATURES + +(interesting or unusual features of NetLogo that the model uses, particularly in the Code tab; or where workarounds were needed for missing features) + + +## RELATED MODELS + +(models in the NetLogo Models Library and elsewhere which are of related interest) + + +## CREDITS AND REFERENCES + +UWaterloo's 2015 iGEM team +Zoƫ Humphries & Robert Gooding-Townsend +@#$#@#$#@ +default +true +0 +Polygon -7500403 true true 150 5 40 250 150 205 260 250 + +airplane +true +0 +Polygon -7500403 true true 150 0 135 15 120 60 120 105 15 165 15 195 120 180 135 240 105 270 120 285 150 270 180 285 210 270 165 240 180 180 285 195 285 165 180 105 180 60 165 15 + +arrow +true +0 +Polygon -7500403 true true 150 0 0 150 105 150 105 293 195 293 195 150 300 150 + +box +false +0 +Polygon 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